Linear Agent vs Numeric: 2026 comparison
AI agent inside Linear — triages issues, drafts engineering specs, runs cross-team workflows on tickets.
Linear Agent vs Numeric — specs
| Spec | Linear Agent | Numeric |
|---|---|---|
| Agent Rank | 72 / 100 (A) | 67 / 100 (B) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $8 | Subscription · Free tier |
| Open source | No | No |
| Capabilities | Tool use, RAG, Memory | Tool use, Memory, RAG |
| Integrations | 3 apps | 3 apps |
| Verified | Verified | Verified |
| Released | Apr 2025 | Feb 2025 |
Agent Rank breakdown
- Autonomy fit
- 8
- Capabilities
- 6
- Integrations
- 6
- Pricing value
- 8
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 8
- Capabilities
- 6
- Integrations
- 2
- Pricing value
- 9
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Native to Linear — zero extra setup for teams already using it
- +Triage and spec-drafting genuinely save time on issue grooming
- +Pricing folds AI features into the existing Linear seat
- −Only useful if you live in Linear
- −Less powerful than dedicated coding agents (Cursor, Claude Code) for code work
- −Agent autonomy bounded by Linear-specific tasks
- +Close-cycle time reduction of 30–50% at deployed customers
- +Variance commentary drafting saves the controller hours per close
- +Auditable trail of every AI-generated journal entry suggestion
- −Best for teams already using NetSuite / Sage Intacct
- −Semi-auto only — humans must approve before posting
- −New product (2024 launch); customer reference list still building
Pricing
- +Basic Linear
- +Limited AI features
- +Full Linear + AI Agent
- +Issue triage
- +Spec drafting
- +SAML SSO
- +SCIM
- +Advanced analytics
- +Close automation
- +Reconciliations
- +Flux analysis
- +Everything in Growth
- +Multi-entity consolidation
- +Custom workflows
- +SSO
Which one should you pick?
Pick Linear Agent if its specific capabilities (Tool use, RAG) match what you need.
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Frequently asked
Should I pick Linear Agent or Numeric in 2026?+
Pick Linear Agent if its specific capabilities (Tool use, RAG) match what you need. Pick Numeric if cost is the main constraint. Most working teams running both can use Linear Agent for primary work and Numeric for the workflows where its specific strengths matter.
What's the price difference between Linear Agent and Numeric?+
Linear Agent starts at Subscription · from $8; Numeric starts at Subscription · Free tier. Numeric is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Linear Agent or Numeric?+
Both Linear Agent and Numeric are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.